Advanced ellipse overlap computation based on segment area of circles by Minhye Kim, Yongkuk Kim, Giphil Cho

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Machine learning approaches to Landsat change detection analysis by Galen Richardson, Anders Knudby, Morgan A. Crowley, Michael Sawada, Wenjun Chen

“…This review provides an overview of different Landsat change detection approaches using machine learning, outlines a framework for understanding the relevant considerations, and discusses recent developments such as generative artificial intelligence, explainable machine learning, and ethical analysis considerations.…”
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Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). …”
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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

“…Hyperspectral imaging (HSI) and artificial intelligence (AI) technologies offer promising avenues for enhancing diagnostic accuracy in this context. …”
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Complete γ-th Moment Convergence for Weighted Sums Under WOD Setup by Qian Zhang, Yi Wu

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τJOWL: A Systematic Approach to Build and Evolve a Temporal OWL 2 Ontology Based on Temporal JSON Big Data by Zouhaier Brahmia, Fabio Grandi, Rafik Bouaziz

“…Nowadays, ontologies, which are defined under the OWL 2 Web Ontology Language (OWL 2), are being used in several fields like artificial intelligence, knowledge engineering, and Semantic Web environments to access data, answer queries, or infer new knowledge. …”
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MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions by Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo

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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

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A scoping review of robustness concepts for machine learning in healthcare by Alan Balendran, Céline Beji, Florie Bouvier, Ottavio Khalifa, Theodoros Evgeniou, Philippe Ravaud, Raphaël Porcher

“…Abstract While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to new environments—essentially, their robustness—remains ambiguous and often overlooked. …”
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Concept of agroedutourism based on smart farming in integrated farming systems by Sumiasih Inanpi Hidayati, Puspitawati Mutiara Dewi, Yadarabullah Yadarabullah

“…Next, the development of an artificial intelligence system was carried out and implemented on a scale of agroedutourism in vegetable crops in greenhouses, compost fertilizer from the cultivation of star fruit commodities, and biofloc fisheries systems. …”
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Navigating Privacy: A Global Comparative Analysis of Data Protection Laws by Sungjin Lim, Junhyoung Oh

“…The increasing reliance on big data and artificial intelligence (AI) in the Fourth Industrial Revolution has raised significant concerns about individual privacy protection. …”
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Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study by Godwin Denk Giebel, Pascal Raszke, Hartmuth Nowak, Lars Palmowski, Michael Adamzik, Philipp Heinz, Marianne Tokic, Nina Timmesfeld, Frank Brunkhorst, Jürgen Wasem, Nikola Blase

“…A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. …”
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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

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The interdisciplinarity of the publications of the Medical University of Silesia in Katowice based on the analysis of the co-occurrence of issues specific to medicine and computer... by Ewelina Paluch, Marcela Mikulska

“…The most prevalent concepts concerning computer science in the publications were: computer science, logistic regression and artificial intelligence. The strenght of the connections between concepts regarding medicine and computer science was calculated by calculating the arithmetic mean of the score value for each pair of IT and medical concepts contained in a single publication. …”
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A Virtual Reality Platform for Safety Training in Coal Mines with AI and Cloud Computing by Mei Li, Zhenming Sun, Zhan Jiang, Zheng Tan, Jinchuan Chen

“…The online cloud-rendered video streaming is adopted to provide enough computing and rendering power and hence a better browser-based user experience. Furthermore, game artificial intelligence (AI) is also introduced into the system to increase the emotional exchange between the system and users. …”
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AI-Enabled Sensing and Decision-Making for IoT Systems by Hao Qinxia, Shah Nazir, Ma Li, Habib Ullah Khan, Wang Lianlian, Sultan Ahmad

“…The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. …”
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Trends in InsurTech Development in Korea: A News Media Analysis of Key Technologies, Players, and Solutions by Yongsu Lee, Hyosook Yim

“…First, regarding changes in InsurTech technology, blockchain and the Internet of Things initially garnered significant attention, but artificial intelligence and big data later emerged as more critical technologies. …”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…A long-term goal of Artificial Intelligence (AI) is to provide machines with the capability of understanding natural language. …”
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Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives by Zahra Khosroabadi, Samaneh Azaryar, Hassan Dianat-Moghadam, Zohreh Amoozgar, Mohammadreza Sharifi

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Prompt injection attacks on vision language models in oncology by Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather

“…Abstract Vision-language artificial intelligence models (VLMs) possess medical knowledge and can be employed in healthcare in numerous ways, including as image interpreters, virtual scribes, and general decision support systems. …”
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